Aaron Pruitt1, Adam Rich1, Yingmin Liu2, Ning Jin3, Lee Potter4, Orlando Simonetti1,2,5, and Rizwan Ahmad1,2,4
1Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 2Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States, 3Siemens Medical Solutions, USA, Columbus, OH, United States, 4Electrical and Computer Engineering, The Ohio State University, Columbus, OH, United States, 5Internal Medicine, The Ohio State University, Columbus, OH, United States
Synopsis
4D flow
imaging can provide comprehensive hemodynamical analysis of blood flow through
the heart and great vessels; however, acquiring 4D flow images with whole-heart
coverage is prohibitively time-consuming. In this work we describe a highly
accelerated and fully self-gated whole-heart 4D flow acquisition and
reconstruction methodology. Additionally, we show proof-of-concept of a fully self-gated
5-minute whole-heart 4D flow exam and demonstrate good agreement in aortic flow
quantification compared to conventional 2D phase contrast.
Introduction
Volumetric and
temporally-resolved 3-directional velocity (4D flow) MRI provides comprehensive
hemodynamical analysis of blood flow through the chambers and great vessels of
the heart.1 Although whole-heart coverage can be particularly
valuable for the evaluation of congenital defects characterized by pathological
flow,2 the extensive acquisition time required precludes its use in
common clinical practice, leading to recent efforts to accelerate 4D flow
acquisition.3 Furthermore, self-gating surrogate signals have been
used for both respiratory and cardiac motion compensation4 in accelerated whole-heart 4D flow, obviating
the need for ECG or time-consuming respiratory navigator-based approaches to further
reduce the overhead of setup time in 4D flow imaging. In this work, we extend
these concepts to propose a highly accelerated and fully self-gated 4D flow
acquisition and reconstruction methodology to explore the feasibility of a
5-minute whole-heart 4D flow exam in a healthy subject.Methods
One healthy
subject was recruited for this study in accordance with the local ethics board.
Highly accelerated 4D flow images were acquired with a 1.5T clinical scanner
(MAGNETOM Avanto, Siemens Healthcare, Germany) for 5-minutes. Incoherent
k-space sampling was achieved using a variable density, cartesian sampling pattern
in the ky-kz plane (Figure 1D). Starting from the first sample at the center of
the k-space, the location of each subsequent sample is advanced angularly by
the golden angle and radially by another irrational number, e.g., $$$\sqrt[3](35)$$$ . The mutual
irrationality of the golden angle and $$$\sqrt[3](35)$$$ leads to a k-space coverage that is
approximately uniform over any arbitrary, non-contiguous time duration. A sagittal slab covering the heart and aorta
was prescribed with parameters conforming to the guidelines outlined in the
consensus statement (Table 1A).1 Flow-compensated readout lines
through the center of k-space were interleaved every 9 TR’s to obtain a self-gating
signal (SG in Figure 1A); bandpass filtering followed by
principal-component-analysis yielded self-gating surrogate signals for
respiratory (Figure 1B) and cardiac (Figure 1C) motion. k-Space data were
binned into 3 respiratory and 20 cardiac phases. Following binning, 4D flow
images were reconstructed using the previously proposed ReVEAL4D algorithm5
from the respiratory expiration bin. Note that the 5-minute acquisition time included
both the time to acquire the self-gating lines, which were used solely for
binning, and data from respiratory phases, which were not included in the final
images. Unoptimized reconstruction time for
the respiratory expiration bin was approximately 6 hours (12-core Intel i7 CPU).
A summary of the reconstruction pipeline is given in Figure 2. Volumetric flow
rate as a function of cardiac phase, stroke volume, and peak velocity were
computed in the ascending aorta. Standard breath-held 2D-phase contrast cines transecting
the ascending aorta were acquired for reference Parameters for 2D-phase contrast
were matched as closely as possible to the whole-heart 4D flow acquisition.Results
Representative
magnitude and phase images in the sagittal, coronal, and transverse orientations
at systole are shown in Figure 3 for the reconstructed self-gated 5-minute 4D
flow images. The net acceleration rate for these images is approximately 20.6.
Volumetric flow rate curves as a function of cardiac phase are given in Figure 4.
The self-gated 5-minute whole-heart 4D flow acquisition yields good agreement with
2D phase contrast in the ascending aorta with mean flow rates of 63.6 mL/s and
64.3 mL/s, respectively. Likewise, stroke volume and peak velocity calculated
from the self-gated 5-minute whole-heart 4D flow images agree well with values
derived from 2D phase contrast, with 76.4 mL and 79.3 mL, respectively for
stroke volume, and 94.3 cm/s and 88.8 cm/s, respectively, for peak velocity
(Table 1B).Conclusions
In this work, we
have demonstrated the feasibility of acquiring diagnostic quality whole-heart
4D flow images in 5-minutes relying only on self-gating surrogate signals for
motion compensation without the need of ECG or respiratory navigators. While
our proposed whole-heart 4D flow acquisition and reconstruction strategy
produced good agreement with conventional 2D-phase contrast on several clinical
metrics, further validation and optimization is required in a larger cohort. In
the future, we will also consider implementing a “soft-gating” strategy6
to leverage additional information from multiple respiratory states.Acknowledgements
This work was partially funded by
NIH grants R21EB021655 and R21EB022277.References
[1] Dyverfeldt et al. 4D flow
cardiovascular magnetic resonance consensus statement. 2015; JCMR 17:72.
[2] Vasanawala et al. Congenital heart disease assessment with 4D
flow MRI. JMRI 2015; 42(4):870-86.
[3] Bollache et al. k-t accelerated aortic 4D flow MRI in under two
minutes: feasibility and impact of resolution, k-space sampling patterns, and
respiratory navigator gating on hemodynamic measurements. MRM 2018;79(1):195-207.
[4] Bastkowski et al. Self-gated golden-angle spiral 4D flow MRI. MRM
2018;80(3):904-13.
[5] Rich et al. A Bayesian model for highly accelerated phase-contrast
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[6] Han et al. Respiratory motion-resolved, self-gated 4D-MRI using
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